Automated anatomical labeling of the intracranial arteries via deep learning in computed tomography angiography

Background and purpose: Anatomical labeling of the cerebral vasculature is a crucial topic in determining the morphological nature and characterizing the vital variations of vessels, yet precise labeling of the intracranial arteries is time-consuming and challenging, given anatomical structural vari...

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Bibliographic Details

Published in:	Frontiers in Physiology
Main Authors:	Ting Chen, Wei You, Liyuan Zhang, Wanxing Ye, Junqiang Feng, Jing Lu, Jian Lv, Yudi Tang, Dachao Wei, Siming Gui, Jia Jiang, Ziyao Wang, Yanwen Wang, Qi Zhao, Yifan Zhang, Junda Qu, Chunlin Li, Yuhua Jiang, Xu Zhang, Youxiang Li, Sheng Guan
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2024-01-01
Subjects:	computed tomography angiography intracranial arteries deep learning anatomical labeling intracranial aneurysm arterial stenosis
Online Access:	https://www.frontiersin.org/articles/10.3389/fphys.2023.1310357/full